Instructions to use yangsui/save_multi_gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yangsui/save_multi_gpu with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("yangsui/save_multi_gpu") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6c622dfb3aaafb192b2d2ddcafd2bec545d3fa901f78fb5cdc22a51154a7ccc1
- Size of remote file:
- 1.46 GB
- SHA256:
- 43f98d80060ea9b914dc2c0cbd2a204db8ab7758a7a93c8cbf00bf98f4d00690
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.